Playing with OpenCV

Task00:HelloWorld_OpenCV

• Reading/Writing image using openCV
• manipulate each pixel to add/sub/mul/div each pixel

Task01-Filters_HistEqv

• HighPass Filter
• LowPass Filter
• Histogram equalizer
• Deconvolution
• Image Blending

Task02-ImageWarping

-Image Alignment, Panoramas -homographies and perspective warping on a common plane (3 images). -cylindrical warping (many images).

Task03-ObjectDetectionFromVideo

• Detect the face in the first frame of the movie Using pre-trained Viola-Jones detector
• Track the face throughout the movie using:
  • CAMShift
  • Particle Filter
  • Face detector + Kalman Filter
  • Optical Flow tracker

Task4-Segmentation

• perform semi-automatic binary segmentation based on SLIC superpixels and graph-cuts

  • Given an image and sparse markings for foreground and background
  • Calculate SLIC over image
  • Calculate color histograms for all superpixels
  • Calculate color histograms for FG and BG.
  • Construct a graph that takes into account superpixel-to-superpixel interaction (smoothness term), as well as superpixel-FG/BG interaction (match term)
  • Run a graph-cut algorithm to get the final segmentation

• Make it interactive: Let the user draw the markings (carrying 0 pt for this part)

  • for every interaction step (mouse click, drag, etc.)
  • recalculate only the FG-BG histograms,
  • construct the graph and get a segmentation from the max-flow graph-cut,
  • show the result immediately to the user (should be fast enough).

Task5-Structured Lights

Task6-CNN

• Digit recognition using CNN